Recommendation Engine- Collaborative Filtering

Using the Instacart dataset, a series of data transformations are done to implement collaborative filtering in R- inside Azure ML studio.

Collaborative filtering is one of the most effective methods to provide recommendations to a users. Based on the behavior exhibited by a set of users in buying
the buying patterns of users for a set of products in their transactions, a collaborative filtering approach is implemented. The training data is prepared as part of a separate experiment, due to latency issues.
However, a walk through guide for the entire process [is as attached][1].
[1]: https://drive.google.com/open?id=0B3rrwuzRci1ka3dKemRGQzBOQWM